基于改进型人工鱼群算法的WSN覆盖优化研究

Optimization of Wireless Sensing Network Coverage Strategy Based on Improved Artificial Fish Swarm Algorithm

在无线传感网络中,有效覆盖和能耗是衡量性能的最重要的两个指标,通过建立网络覆盖优化的数学模型,通过在人工鱼群算法的觅食行为中引入混沌算法来减少行为的不确定性,在聚群行为中引入多样性的概念来避免了人工鱼群的拥挤。通过仿真实验表明,该算法能求解最优覆盖工作节点,有效的延长整个网络的生命周期,缩短传输时延。

In the Wireless sensor networks ,networks converage rates and energy consumption are two important performace, established an optionalmodel for coverage in wireless sensor networks. Chaos algorithm introduced in the foraging behavior of artificial fish swarm algorithm to reduce the uncertainty of the behavior. The introduction of the concept of diversity in cluster behavior to avoid the congestion of artificial fish school.Simulation results show that the algorithm can get an optional selection of the set of nodes,prolongs the network lifetime effectively,and shortens transmission delay.